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·February 1, 2023·3 min read

Joy at the Café: Tweets Reveal Where in Cities People Express Different Emotions

Using data from Twitter, researchers were able to determine specific events and locations within cities that were associated with different emotions. Train stations and transportation sites were associated with less joy and more disgust, while hotels and restaurants were linked to a greater expression of joy.

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·March 12, 2020·3 min read

How dangerous news spreads: What makes Twitter users retweet risk-related information

Study uncovers how misinformation and fake news can spread via social media platforms like Twitter. Those with high numbers of mutual followers are more likely to spread "dreadful" misinformation. Findings could offer solutions to prevent fake news dissemination.

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·November 4, 2019·5 min read

Anger, anxiety, insomnia: Tweets from Twitter users could predict loneliness

Linguistic analytic models found users who tweet about loneliness post significantly more frequently about mental health concerns, relationship problems, and insomnia.

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·September 16, 2019·3 min read

New algorithm can distinguish cyberbullies from normal Twitter users with 90% accuracy

A new deep learning system is 90% accurate in identifying cyberbullies on the popular social media site Twitter.

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Featured Neuroscience Psychology

·May 15, 2019·3 min read

Twitter image colors and content could help identify users with depression, anxiety

Combining artificial intelligence and computer vision technology, researchers were able to determine anxiety and depression risks from peoples' Twitter profile pictures.

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·January 9, 2019·3 min read

Negative Social Media Behaviors Associated with Depression in Millennials

Researchers link social media factors to major depressive disorder in Millennials. The study found those with MDD were less likely to post photos of themselves with other people and reported having less social media followers.

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·November 16, 2018·4 min read

Using Twitter to Monitor Social Jet Lag

Researchers have managed to find a way to measure social 'jet lag', a mismatch between circadian rhythm and the realities of daily schedules, by analyzing patterns of activity on Twitter.

Featured Neuroscience Open Neuroscience Articles Psychology

·August 29, 2018·4 min read

Russian Trolls and Bots Influence Vaccine Discussion on Twitter

Researchers report Russian trolls and bots are significantly involved in promoting discord and spreading false information about vaccines on Twitter. The study reports these accounts shared anti-vaccination messages 75% more than average Twitter users.

Featured Neuroscience Open Neuroscience Articles Psychology

·June 20, 2018·4 min read

Study of 800 Millions Tweets Finds Distinct Daily Cycles in Our Thinking Patterns

Using AI to examine over 800 million tweets, researchers reveal how our mode of thinking alters during the course of the day. The study reports early morning tweets tend to be correlated with more logical thinking patterns, while middle of the night tweets tend to exhibit more existential concerns.